Fast Deterministic Constructions of Linear-Size Spanners and Skeletons

07/25/2019
by   Michael Elkin, et al.
0

In the distributed setting, the only existing constructions of sparse skeletons, (i.e., subgraphs with O(n) edges) either use randomization or large messages, or require Ω(D) time, where D is the hop-diameter of the input graph G. We devise the first deterministic distributed algorithm in the CONGEST model (i.e., uses small messages) for constructing linear-size skeletons in time 2^O(√( n· n)). We can also compute a linear-size spanner with stretch polylog(n) in low deterministic polynomial time, i.e., O(n^ρ) for an arbitrarily small constant ρ >0, in the CONGEST model. Yet another algorithm that we devise runs in O( n)^κ-1 time, for a parameter κ=1,2,..., and constructs an O( n)^κ-1 spanner with O(n^1+1/κ) edges. All our distributed algorithms are lightweight from the computational perspective, i.e., none of them employs any heavy computations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/02/2021

Ultra-Sparse Near-Additive Emulators

Near-additive (aka (1+ϵ,β)-) emulators and spanners are a fundamental gr...
research
05/14/2018

Congested Clique Algorithms for Graph Spanners

Graph spanners are sparse subgraphs that faithfully preserve the distanc...
research
03/03/2019

Near-Additive Spanners In Low Polynomial Deterministic CONGEST Time

Given parameters α≥ 1,β≥ 0, a subgraph G'=(V,H) of an n-vertex unweighte...
research
09/18/2021

The Undecidability of Network Coding with some Fixed-Size Messages and Edges

We consider a network coding setting where some of the messages and edge...
research
11/05/2018

The Sparsest Additive Spanner via Multiple Weighted BFS Trees

Spanners are fundamental graph structures that sparsify graphs at the co...
research
08/09/2019

Improved Network Decompositions using Small Messages with Applications on MIS, Neighborhood Covers, and Beyond

Network decompositions, as introduced by Awerbuch, Luby, Goldberg, and P...
research
11/15/2021

Fast adjoint differentiation of chaos

We devise a fast algorithm for the gradient of the long-time-average sta...

Please sign up or login with your details

Forgot password? Click here to reset